Neural Computing & Applications

, Volume 14, Issue 4, pp 273–281 | Cite as

A Review of data fusion models and architectures: towards engineering guidelines

  • Jaime Esteban
  • Andrew Starr
  • Robert Willetts
  • Paul Hannah
  • Peter Bryanston-Cross
Original Article


This paper reviews the potential benefits that can be obtained by the implementation of data fusion in a multi-sensor environment. A thorough review of the commonly used data fusion frameworks is presented together with important factors that need to be considered during the development of an effective data fusion problem-solving strategy. A system-based approach is defined for the application of data fusion systems within engineering. Structured guidelines for users are proposed.


Data fusion Frameworks Intelligent systems Engineering guidelines 



This work was supported by the INTErSECT Faraday Partnership and EPSRC as part of project GR/M44484 “The application of data fusion to a multi sensored intelligent engine”. The authors gratefully acknowledge the assistance of the following partners: Corus, National Physical Laboratory, QinetiQ, Rolls-Royce, and Wolfson Maintenance; and particularly of Dr Mark Bedworth, Mr Graham Hesketh, Prof. John Macintyre, and Mrs Jane O’Brien in the preparation of the guidelines.


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Copyright information

© Springer-Verlag London Limited 2005

Authors and Affiliations

  • Jaime Esteban
    • 1
  • Andrew Starr
    • 1
  • Robert Willetts
    • 1
  • Paul Hannah
    • 1
  • Peter Bryanston-Cross
    • 2
  1. 1.School of Mechanical, Aerospace and Civil EngineeringThe University of ManchesterManchesterUK
  2. 2.School of EngineeringUniversity of WarwickCoventryUK

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